Teaching and Prototype Track

Call for Papers: Teaching and Prototype track

The business analytics field is fast changing with the advent of cutting-edge machine learning and artificial intelligence tools. Organizations have begun to understand not only the great potential for key competitive advantage, but also the potential for grave misuse and abuse of data and data science. Educators need to dynamically respond to industry needs and develop curricula that empower innovative, ethical and sustainable data science. 

Aligned with the Symposium theme of Analytics and AI for a Sustainable and Resilient, we seek submissions focused on teaching business intelligence, big data analytics, cognitive analytics, social media analytics, machine learning, IoT analytics, data science, visualization, or other emerging analytic technologies. Submissions should address the acquisition, application, and development of the knowledge and skills required to use business analytics in industry or topics related to the creation and maintenance of environments that support this education.

Teaching sub-track submissions

Contributions can be of varied types, including: pedagogical studies, teaching cases, teaching tips, tutorial exercises, or similar artifacts related to curriculum, pedagogy/teaching, learning, and infrastructure addressing topics including but not limited to:

  • Business Analytics (BA) curriculum development with assessment methods
  • ‪Bodies of Knowledge (BOK) for Business Intelligence, Analytics, Machine Learning, Data Science
  • ‪Developing interdisciplinary focus that cuts across traditional functional areas
  • ‪Differentiating business analytics curricula for Undergraduate, MBA, Master of Science and Executive Education, and tailoring curricula to generalists and specialists
  • ‪Integration of IT and analytics skills
  • ‪New BA programs, courses, and centers
  • Pedagogical innovations in business analytics
  • Innovative pedagogical approaches to teaching ethics in business analytics design, development, and implementation
  • ‪Innovations in delivery of analytics courses (online, hybrid, student interaction, etc.)‪
  • Challenges and solutions related to the construction and maintenance of classrooms and labs in support of business analytics education
  • Organizational case studies (with teaching notes) that provide rich stories of individual organizations’ management and analytics initiatives and address a variety of issues in management sponsorship, strategic priorities, adoption and implementation of analytics, technical challenges, collaboration, communication, and actionable results in business analytics:
  • Different stakeholders involved in decision-making process and their role in implementation success
  • Role of strategic planning in adoption of analytics and implementation success
  • Organizational challenges and barriers
  • Metrics to measure effectiveness of these technologies to enhance business value
  • Success factors and reasons for failure
  • Ethical and/or global issues
  • Tutorial exercises (with teaching notes) and simulations that provide a business scenario, data sets, and step-by-step introduction to the latest business analytics tools, covering topics including but not limited to:
      • Integration of data management and analytics
      • ‪Integration of analytics and visualization tools
      • ‪Analytics certification and digital badges programs
      • ‪Open source vs. proprietary platforms
      • The use of platform and/or software to enhance pedagogy for data mining, cognitive analytics, text mining, and sentiment analysis using social media data and big data
  • Data sets that can be used by other faculty members to augment their pedagogy
  • Hands-on software experiences and software tutorials

Prototypes SUB-Track Submissions

Submissions can be of one of the types listed below.

  1. Prototype demonstrations proposals:
     These are showcasing innovative methodological developments or applications of artificial intelligence, machine learning, deep learning, text mining, and other data analytics/decision support techniques are encouraged. Prototypes should highlight aspects such as novelty, architecture, functioning, and ongoing/future work. This high-visibility category is different from the research paper presentation category and provides an opportunity to display a working artifact to an audience in an interactive manner. Prototype demonstrations will involve a poster display (printed or electronic) and a live demonstration of a prototype to the attendees.
  2. Design science-oriented idea papers:
    Idea papers are supposed to identify innovative future lines of design-oriented BIA research related to the topics discussed above. The idea papers should include a convincing motivation, a brief overview of the relevant state of the art, the core idea, possible contributions to research and practice, and an outline of a possible course of the research project.

Prototype proposals and idea papers can be submitted in one of two formats

  1. extended abstract: two to three single-spaced pages in length, or
  2. complete papers: six to seven pages in length.

In addition to the Title, Abstract, and Keywords, a prototype proposal should contain only one or two sections describing the prototype or core research idea to be showcased, highlighting the key features and novelty. Submission type should be mentioned in the submission as Prototype Demonstration or Design Research Idea Paper respectively.

Submission Template, Submission System, and Awards and Publication Opportunities

  • Information about the submission guideline and template and where to submit can be found here.
  • Information about the awards and publication opportunities can be found here.
  • Information about the important relevant dates can be here. 

Teaching and Prototype Track Co-Chairs

For questions regarding the submissions to the teaching track, please contact:

We recommend including ‘Pre-ICIS SIGDSA 2021 Teaching & Prototype Track Question’ as your email subject line.